• Journal of The Korean Association For Science Education
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• v.42 no.3
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• pp.357-370
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• 2022

In this paper, we developed an augmented reality learning tool suitable for chemical bond learning and proposed a process-oriented guided inquiry learning using mobile augmented reality (POGIL-MAR) to find out how it affects science achievement, science learning motivation and learning flow. Participants were 139 10^th-grade students from a coeducational high school in Gyeonggi-do, and they were randomly assigned to the control group (TL), the treatment group 1 (POGIL), and the treatment group 2 (POGIL-MAR). They learned the concept of the chemical bond from the Integrated Science subject for four class periods. Results of two-way ANCOVA revealed that the POGIL-MAR group scored significantly higher than the other groups in a science achievement test, science learning motivation test, and learning flow test, regardless of their prior science achievement. In addition, in the case of the low-level group, the POGIL-MAR group showed a statistically significant improvement in achievement compared to the TL and POGIL groups. The MANCOVA analysis for sub-factors of science learning motivation show that the POGIL-MAR group had significantly higher scores in intrinsic motivation, career motivation, self-determination, self-efficacy, and grade motivation. In particular, the interaction effect between the teaching and learning method and the level of prior achievement was significant in the intrinsic motivation. Meanwhile, the MANCOVA analysis for sub-factors of learning flow show that the POGIL-MAR group had significantly higher scores in clear goals, unambiguous feedback, action-awareness merging, sense of control, and autotelic experience. Based on the results, educational implications for effective teaching and learning strategy using mobile augmented reality are discussed.

• Journal of Internet Computing and Services
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• v.12 no.6
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• pp.171-187
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• 2011

Due to the vitalization of the smart phones, mobile revolution has been started. The mobile revolution has elevated SNS service, which was once considered as just one of many communication tools, to the single most important communication method as well as diffusion of social commerce. Yet, there has not been an adequate study of the roles of SNS in the domestic social commerce market, which has gotten a lot of spotlights. Therefore, the purpose of this study is to investigate the influence of various characteristics of social commerce that it has an impact on the purchase intension as well as the moderating effects of SNS. For these purposes, this study has drawn up the characteristics of social commerce in cost cutting, impulse buy, social influence, decision support, word of mouth effect and etc. to prove the interaction effect of SNS. The regression analysis showed that the characteristics of all the social commerce are related to the dependent variable. As a result of drawing up the interaction effect of SNS, it has shown that the cost cutting and word of mouth have significant influence in the social commerce diffusion as the usage of SNS increased. In conclusion, the main implication of this study is to provide the basic grounds for social commerce business strategy as it investigated the characteristics of SNS and its relation.

• Journal of the Korea Society of Computer and Information
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• v.24 no.11
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• pp.61-69
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• 2019

In this paper, we propose a multisensory(i.e., visual-auditory-tactile) based AR system for the education of cultural heritage. The proposed system provides a multisensory interaction by designing a user to experience with a 3D printed artifact which is mapped by a virtual 3D content of digital heritage. Compared with the existing systems of cultural heritage education based on augmented reality(AR) technology, this system focused on not only providing learning experience via a sense of visual and auditory, but also a sense of tactile. Furthermore, since this systems mainly provided the direct interactions using a 3D printed model, it gives a higher degree of realism than existing system that use touch or click motions on a 2D display of mobile phones and tablets. According to a result of user testing, we concluded that the proposed system delivered the excellent presence and learning flow to users. Particularly, from the usability evaluation, a 3D printed target artifact which is similar in shape to original heritage artifact, achieved the highest scores among the various tested targets.

• Journal of Intelligence and Information Systems
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• v.17 no.1
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• pp.53-69
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• 2011

Vision and voice-based technologies are commonly utilized for human-robot interaction. But it is widely recognized that the performance of vision and voice-based interaction systems is deteriorated by a large margin in the real-world situations due to environmental and user variances. Human users need to be very cooperative to get reasonable performance, which significantly limits the usability of the vision and voice-based human-robot interaction technologies. As a result, touch screens are still the major medium of human-robot interaction for the real-world applications. To empower the usability of robots for various services, alternative interaction technologies should be developed to complement the problems of vision and voice-based technologies. In this paper, we propose the use of accelerometer-based gesture interface as one of the alternative technologies, because accelerometers are effective in detecting the movements of human body, while their performance is not limited by environmental contexts such as lighting conditions or camera's field-of-view. Moreover, accelerometers are widely available nowadays in many mobile devices. We tackle the problem of classifying acceleration signal patterns of 26 English alphabets, which is one of the essential repertoires for the realization of education services based on robots. Recognizing 26 English handwriting patterns based on accelerometers is a very difficult task to take over because of its large scale of pattern classes and the complexity of each pattern. The most difficult problem that has been undertaken which is similar to our problem was recognizing acceleration signal patterns of 10 handwritten digits. Most previous studies dealt with pattern sets of 8~10 simple and easily distinguishable gestures that are useful for controlling home appliances, computer applications, robots etc. Good features are essential for the success of pattern recognition. To promote the discriminative power upon complex English alphabet patterns, we extracted 'motion trajectories' out of input acceleration signal and used them as the main feature. Investigative experiments showed that classifiers based on trajectory performed 3%~5% better than those with raw features e.g. acceleration signal itself or statistical figures. To minimize the distortion of trajectories, we applied a simple but effective set of smoothing filters and band-pass filters. It is well known that acceleration patterns for the same gesture is very different among different performers. To tackle the problem, online incremental learning is applied for our system to make it adaptive to the users' distinctive motion properties. Our system is based on instance-based learning (IBL) where each training sample is memorized as a reference pattern. Brute-force incremental learning in IBL continuously accumulates reference patterns, which is a problem because it not only slows down the classification but also downgrades the recall performance. Regarding the latter phenomenon, we observed a tendency that as the number of reference patterns grows, some reference patterns contribute more to the false positive classification. Thus, we devised an algorithm for optimizing the reference pattern set based on the positive and negative contribution of each reference pattern. The algorithm is performed periodically to remove reference patterns that have a very low positive contribution or a high negative contribution. Experiments were performed on 6500 gesture patterns collected from 50 adults of 30~50 years old. Each alphabet was performed 5 times per participant using $Nintendo{(R)}$ $Wii^{TM}$ remote. Acceleration signal was sampled in 100hz on 3 axes. Mean recall rate for all the alphabets was 95.48%. Some alphabets recorded very low recall rate and exhibited very high pairwise confusion rate. Major confusion pairs are D(88%) and P(74%), I(81%) and U(75%), N(88%) and W(100%). Though W was recalled perfectly, it contributed much to the false positive classification of N. By comparison with major previous results from VTT (96% for 8 control gestures), CMU (97% for 10 control gestures) and Samsung Electronics(97% for 10 digits and a control gesture), we could find that the performance of our system is superior regarding the number of pattern classes and the complexity of patterns. Using our gesture interaction system, we conducted 2 case studies of robot-based edutainment services. The services were implemented on various robot platforms and mobile devices including $iPhone^{TM}$. The participating children exhibited improved concentration and active reaction on the service with our gesture interface. To prove the effectiveness of our gesture interface, a test was taken by the children after experiencing an English teaching service. The test result showed that those who played with the gesture interface-based robot content marked 10% better score than those with conventional teaching. We conclude that the accelerometer-based gesture interface is a promising technology for flourishing real-world robot-based services and content by complementing the limits of today's conventional interfaces e.g. touch screen, vision and voice.

• Journal of the Korea Society of Computer and Information
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• v.17 no.8
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• pp.181-188
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• 2012

In this paper, we propose an a strategy using writing based on STEAM Instruction for information gifted students' creative problem-solving. It is needed a complex and dynamic interaction of variety elements for creative problem solving. And it should be provided experience encompassing various disciplines thorough convergence education for leading to the these interactions and developing the ability to solve complex problems. Writing has already been verified educational effects in a variety subjects. And writing gives a positive impact on creative problem solving by helping awareness of the problem and encouraging critical thinking. In addition, writing can be used as an effective tool for improving problem solving based on similarities between problem-solving process. Learners will find algorithm thorough the process analyzing and writing experience with high-tech products like vending machines, mobile phones and can learn naturally the principles of various disciplines used in real life. Furthermore, learners will experience interaction, convergence of various thinking and cultivate creative problem- solving skills.

• Journal of Korean Society for Atmospheric Environment
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• v.29 no.5
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• pp.656-667
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• 2013

The non-exhaust coarse, fine, and ultrafine particles were characterized by on-road driving measurements using a mobile sampling system. The on-road driving measurements under constant speed driving revealed that mass concentrations of roadway particles (RWPs) were distributed mainly in a size range of 2~3 ${\mu}m$ and slightly increased with increasing vehicle speed. Under braking conditions, the mode diameters of the particles were generally similar with those obtained under constant speed conditions. However, the PM concentrations emitted during braking condition were significantly higher than those produced under normal driving conditions. Higher number concentrations of ultrafine particles smaller than 70 nm were observed during braking conditions, and the number concentration of particles sampled 90 mm above the pavement was 6 times higher than that obtained 40 mm above the pavement. Under cornering conditions, the number concentrations of RWPs sampled 40 mm above the pavement surface were higher than those sampled 90 mm above the pavement. This might be explained that a nucleation burst of a lot of vapor evaporated from the interaction between the tire and the road pavement under braking conditions continuously occurred by cooling during the transport to the sampling height 90 mm, while, for the case of cornering situations, the ultrafine particle formation was completed before the transport to the sampling height of 40 mm.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.52-55
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• 2009

With the recent development of virtual reality, it has been actively investigated to develop user interfaces for immersive interaction. Immersive user interfaces improve the efficiency and the capability of information processing in the virtual environment providing various services, and provide effective interaction in the field of ubiquitous and mobile computing. In this paper, we propose an virtual reality platform "My Workspace" which renders an 3D virtual workspace by using an immersive user interface. We develop an interface that integrates an optical see-through head-mounted display, a Wii remote controller, and a helmet with infrared LEDs. It estimates the user's gaze direction in terms of horizontal and vertical angles based on the model of head movements. My Workspace expands the current 2D workspace based on monitors into the layered 3D workspace, and renders a part of 3D virtual workspace corresponding to the gaze direction. The user can arrange various tasks on the virtual workspace and switch each task by moving his head. In this paper, we will also verify the performance of the immersive user interface as well as its usefulness with the usability test.

• The Journal of the Korea Contents Association
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• v.14 no.1
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• pp.165-178
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• 2014

Recently, the social network game (SNG) industry is expanding at a fast pace by the increase in the charged item sales. The objective of the present study is to explore factors influencing user intention to purchase charged items. Based on the literature review, flow has been introduced as an influential factor of the intention to purchase and individual influence, social relationship, and social influence as factors of flow. Enjoyment and self-competence are assumed to be measurement constructs for individual influence, social interaction and self-presentation for social relationship, social norm and perceived critical mass for social influence. Empirical analysis show that enjoyment and self-presentation has significant influence on users' flow while self-competence and social interaction has not. Also social norms and perceived critical mass directly influence intention to purchase items. Theoretical and practical implications are discussed by this results.

• Journal of the Korean Applied Science and Technology
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• v.17 no.3
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• pp.158-166
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• 2000

A conductimetric study of foam formed from mixture of the protein, ${\beta}-lactoglobulin$, and the nonioinc surfactant, SML, revealed that their stability was reduced at concentrations of SML in the range $3{\sim}10mM$. The interaction of SML with ${\beta}-lactoglobulin$ was investigated by fluorimetry and a dissociation constant of $0.2{\mu}M$ was calculated for the complex. Surface tension studies confirmed the presence of interaction between the two components and provided evidence for the progressive displacement of ${\beta}-lactogloblin$ from the air/water interface with increasing SML concentration. Experiments using air-suspended microscopic thin liquid films revealed transitions in the chainage characteristics and thickness of the film at SML concentrations below that which resulted in destabilization of the foam. However, measurements of surface mobility of fluorescent-labeled ${\beta}-lactoglobulin$ by a photobleaching method identified that a transition to a mobile system occurred at a SML concentration which correlated with the onset of instability in the disperse phase. The results would indicate that maintenance of the viscoelastic properties of the surface is paramount importance in determining the stability of interfaces comprising mixtures of protein and surfactant.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.765-769
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• 2009

The Augmented Reality of existing for the interaction which the object and background is smooth used the data glove or marker. It is inconvenient to a use and it occurs the result of immersion feeling decrease. Immersion it will wind from Augmented Reality and the hazard which it strengthens the removal of the additional entry device which stands is necessary. It recognizes the space coordinates which is accurate even from the condition where the hazard marker which will reach does not attach in necessity. Immersion feeling improvement from Augmented Reality wearing the hazard additional entry device it proposes the space coordinate creation technique of the virtuality description below for a interaction without from the present paper. The method which is proposed the image which it acquires the object of virtuality reflected at 2D space and the characteristic line about under extracting the space coordinate which reflects about under calculating it reflected. The application is possible in markerless Augmented Reality and the mobile Augmented Reality.